Proceedings Of The Fourth Siam International Conference On Data Mining

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Format: Paperback
Pub. Date: 2004-04-30
Publisher(s): Society for Industrial & Applied
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Table of Contents

Mining relationships between interacting episodesp. 1
Making time-series classification more accurate using learned constraintsp. 11
GRM : a new model for clustering linear sequencesp. 23
Nonlinear manifold learning for data streamp. 33
Text mining from site invariant and dependent features for information extraction knowledge adaptationp. 45
Constructing time decompositions for analyzing time stamped documentsp. 57
Equivalence of several two-stage methods for linear discriminant analysisp. 69
A framework for discovering co-location patterns in data sets with extended spatial objectsp. 78
A top-down method for mining most specific frequent patterns in biological sequencesp. 90
Using support vector machines for classifying large sets of multi-represented objectsp. 102
Minimum sum-squared residue co-clustering of gene expression datap. 114
Training support vector machine using adaptive clusteringp. 126
IREP++, a faster rule learning algorithmp. 138
Genic : a single pass generalized incremental algorithm for clusteringp. 147
Conquest : a distributed tool for constructing summaries of high-dimensional discrete attributed datasetsp. 154
Basic association rulesp. 166
Hierarchical clustering for thematic browsing and summarization of large sets of association rulesp. 178
Quantitative evaluation of clustering results using computational negative controlsp. 188
An abstract weighting framework for clustering algorithmsp. 200
RBA : an integrated framework for regression based on association rulesp. 210
Privacy-preserving multivariate statistical analysis : linear regression and classificationp. 222
Clustering with Bregman divergencesp. 234
Density-connected subspace clustering for high-dimensional datap. 246
Tessellation and clustering by mixture models and their parallel implementationsp. 257
Clustering categorical data using the correlated-force ensemblep. 269
HICAP : hierarchical clustering with pattern preservationp. 279
Enhancing communities of interest using Bayesian Stochastic Blockmodelsp. 291
VEDAS : a mobile and distributed data stream mining system for real-time vehicle monitoringp. 300
DOMISA : DOM-based information space adsorption for web information hierarchy miningp. 312
CREDOS : classification using ripple down structure (a case for rare classes)p. 321
Active semi-supervision for pairwise constrained clusteringp. 333
Finding frequent patterns in a large sparse graphp. 345
A general probabilistic framework for mining labeled ordered treesp. 357
Mixture density Mercer kernels : a method to learn kernels directly from datap. 369
A mixture model for clustering ensemblesp. 379
Visualizing RFM segmentationp. 391
Visually mining through cluster hierarchiesp. 400
Class-specific ensembles for active learning in digital imageryp. 412
Mining text for word senses using independent component analysisp. 422
A kernel-based semi-naive Bayesian classifier using P-treesp. 427
BAMBOO : accelerating closed itemset mining by deeply pushing the length-decreasing support constraintp. 432
A general framework for adaptive anomaly detection with evolving connectionist systemsp. 437
R-MAT : a recursive model for graph miningp. 442
Lazy learning by scanning memory image latticep. 447
Text mining using non-negative matrix factorizationsp. 452
Active mining of data streamsp. 457
Learning to read between the lines : the aspect Bernoulli modelp. 462
Exploiting hierarchical domain values in classification learningp. 467
IFD : iterative feature and data clusteringp. 472
Adaptive filtering for efficient record linkagep. 477
A foundational approach to mining itemset utilities from databasesp. 482
The discovery of generalized causal models with mixed variables using MML criterionp. 487
Reservoir-based random sampling with replacement from data streamp. 492
Principal component analysis and effective K-means clusteringp. 497
Classifying documents without labelsp. 502
Data reduction in support vector machines by a kernelized ionic interaction modelp. 507
Continuous-time Bayesian modeling of clinical datap. 512
Subspace clustering of high dimensional datap. 517
Privacy preserving naive Bayes classifer for vertically partitioned datap. 522
Resource-aware mining with variable granularities in data streamsp. 527
Mining patters of activity from video datap. 532
Table of Contents provided by Blackwell. All Rights Reserved.

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